SOTAVerified

Disparity Estimation

The Disparity Estimation is the task of finding the pixels in the multiscopic views that correspond to the same 3D point in the scene.

Papers

Showing 5160 of 162 papers

TitleStatusHype
Learning for Disparity Estimation through Feature ConstancyCode0
Road surface 3d reconstruction based on dense subpixel disparity map estimationCode0
Digging Into Normal Incorporated Stereo MatchingCode0
Color Agnostic Cross-Spectral Disparity EstimationCode0
Adaptive Unimodal Cost Volume Filtering for Deep Stereo MatchingCode0
Learning on the Edge: Explicit Boundary Handling in CNNsCode0
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise LabelingCode0
AutoDispNet: Improving Disparity Estimation With AutoMLCode0
Depth-Based Selective Blurring in Stereo Images Using Accelerated FrameworkCode0
Hinge-Wasserstein: Estimating Multimodal Aleatoric Uncertainty in Regression TasksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)62.05Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)53.3Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)74.77Unverified
#ModelMetricClaimedVerifiedStatus
1Two-stream CNN+CLSTMBadPix(0.01)17.75Unverified